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基于不同控制图的GNSS异常数据检测方法研究

何序归 刘超 董亮 孙健飞 樊亚 刘佳祥

江西科学2024,Vol.42Issue(2):360-365,6.
江西科学2024,Vol.42Issue(2):360-365,6.DOI:10.13990/j.issn1001-3679.2024.02.022

基于不同控制图的GNSS异常数据检测方法研究

Research on GNSS Anomaly Data Detection Method Based on Different Control Chart

何序归 1刘超 1董亮 2孙健飞 2樊亚 3刘佳祥3

作者信息

  • 1. 安徽理工大学空间信息与测绘工程学院,232001,安徽,淮南
  • 2. 江苏省地质矿产局第六地质大队,222000,江苏,连云港
  • 3. 中国建筑材料工业地质勘查中心贵州总队,550009,贵阳
  • 折叠

摘要

Abstract

Control charts are a mature method for detecting mutation points and have been widely used in the detection of anomalous data of coordinate sequences in the Global Navigation Satellite System(GNSS).The article adopts three kinds of widely used control charts,namely cumulative sum control charts,Shewhart control charts,and exponential weighted moving average control charts.Mainly by adding different multiples of standard deviation offsets to GNSS anomaly data for experimentation and comparative analysis,the results show that the CUSUM control charts have higher accuracy for standard deviation offsets of less than 3 times,followed by the EWMA control charts,but the CUSUM control charts can only detect an offset of 0.5 times at minimum.For stand-ard deviation offsets above 3 times,Shewhart and EWMA control charts have similar results,while CUSUM control charts lead to an increase in false positives with increasing offsets.

关键词

GNSS/异常数据/CUSUM控制图/Shewhart控制图/EWMA控制图

Key words

GNSS/abnormal data/CUSUM control charts/Shewhart control charts/EWMA control charts

分类

天文与地球科学

引用本文复制引用

何序归,刘超,董亮,孙健飞,樊亚,刘佳祥..基于不同控制图的GNSS异常数据检测方法研究[J].江西科学,2024,42(2):360-365,6.

基金项目

安徽省高等学校科学研究重点项目(2022AH050849). (2022AH050849)

江西科学

1001-3679

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